Statistics in Biosciences - Top Downloaded Papers for 2023

Statistics in Biosciences highlights some of the top downloaded papers from the journal for 2023:

• Statistical Learning of Large-Scale Genetic Data: How to Run a Genome-Wide Association Study of Gene-Expression Data Using the 1000 Genomes Project Data (this opens in a new tab)
  Anton Sugolov, Eric Emmenegger, Andrew D. Paterson, Lei Sun
  Statistics in Biosciences, 1-15 - July 2023

• On the Methodological Aspects of the Clinical Trials for COVID-19 Conducted in the First Year of the Pandemic: A Descriptive Analysis (this opens in a new tab)
  Eleni Georgiadi, Athanasios Sachlas
  Statistics in Biosciences, 15(2), 384-396 - March 2023

• Bayesian Index Models for Heterogeneous Treatment Effects on a Binary Outcome (this opens in a new tab)
  Hyung G. Park, Danni Wu, Eva Petkova, Thaddeus Tarpey, R. Todd Ogden
  Statistics in Biosciences, 15(2), 397-418 - May 2023

• Simultaneous Confidence Band Approach for Comparison of COVID-19 Case Counts (this opens in a new tab)
  Q. Shao
  Statistics in Biosciences, 15(2), 372-383 - March 2023

• Analysis of the Cox Model with Longitudinal Covariates with Measurement Errors and Partly Interval Censored Failure Times, with Application to an AIDS Clinical Trial (this opens in a new tab)
  Yanqing Sun, Qingning Zhou, Peter B. Gilbert
  Statistics in Biosciences, 15(2), 430-454 - May 2023